Ali Ben Abbes
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Wavelet transform application for/in non-stationary time-series analysis: A review
M Rhif, A Ben Abbes, IR Farah, B Martínez, Y Sang
Applied Sciences 9 (7), 1345, 2019
A review of drought monitoring with big data: Issues, methods, challenges and research directions
H Balti, AB Abbes, N Mellouli, IR Farah, Y Sang, M Lamolle
Ecological Informatics 60, 101136, 2020
Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification
A Sellami, AB Abbes, V Barra, IR Farah
Pattern Recognition Letters 138, 594-600, 2020
Comparative study of three satellite image time-series decomposition methods for vegetation change detection
A Ben Abbes, O Bounouh, IR Farah, R de Jong, B Martínez
European Journal of Remote Sensing 51 (1), 607-615, 2018
Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review
A Ferchichi, AB Abbes, V Barra, IR Farah
Ecological Informatics 68, 101552, 2022
Non-stationary and unequally spaced NDVI time series analyses by the LSWAVE software
E Ghaderpour, A Ben Abbes, M Rhif, SD Pagiatakis, IR Farah
International journal of remote sensing 41 (6), 2374-2390, 2020
An improved trend vegetation analysis for non-stationary NDVI time series based on wavelet transform
M Rhif, A Ben Abbes, B Martinez, IR Farah
Environmental Science and Pollution Research 28 (34), 46603-46613, 2021
A deep learning approach for forecasting non-stationary big remote sensing time series
M Rhif, AB Abbes, B Martinez, IR Farah
Arabian Journal of Geosciences 13 (22), 1-11, 2020
A review of drought monitoring using remote sensing and data mining methods
R Inoubli, AB Abbes, IR Farah, V Singh, T Tadesse, MT Sattari
2020 5th International Conference on Advanced Technologies for Signal and …, 2020
Soil moisture estimation from smap observations using long short-term memory (lstm)
AB Abbes, R Magagi, K Goita
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
Deep learning models performance for NDVI time series prediction: a case study on north west Tunisia
M Rhif, AB Abbes, B Martínez, IR Farah
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium …, 2020
Detection of trend and seasonal changes in non-stationary remote sensing data: Case study of Tunisia vegetation dynamics
M Rhif, AB Abbes, B Martinez, R de Jong, Y Sang, IR Farah
Ecological Informatics 69, 101596, 2022
Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series
A Abidi, D Ienco, AB Abbes, IR Farah
Engineering Applications of Artificial Intelligence 122, 106152, 2023
Multidimensional Architecture using a Massive and Heterogeneous Data: Application to Drought Monitoring
H Balti, A Ben Abbes, N Mellouli, IR Farah, Y Sang, M Lamolle
Future Generation Computer Systems 135, 1-15, 2022
Spatio-temporal modeling based on hidden Markov model for object tracking in satellite imagery
H Essid, AB Abbes, IR Farah, V Barra
2012 6th International Conference on Sciences of Electronics, Technologies …, 2012
Big data based architecture for drought forecasting using LSTM, ARIMA, and Prophet: Case study of the Jiangsu Province, China
H Balti, AB Abbes, N Mellouli, Y Sang, IR Farah, M Lamolle, Y Zhu
2021 International Congress of Advanced Technology and Engineering (ICOTEN), 1-8, 2021
Unsupervised self-training method based on deep learning for soil moisture estimation using synergy of sentinel-1 and sentinel-2 images
A Ben Abbes, N Jarray
International Journal of Image and Data Fusion 14 (1), 1-14, 2023
Prediction changes for nonstationary multi-temporal satellite images using HMM
AB Abbes, IR Farah
Handbook of Research on Geographic Information Systems Applications and …, 2017
Handbook of research on geographic information systems applications and advancements
S Faiz, K Mahmoudi
IGI Global, 2016
Veg-W2TCN: A parallel hybrid forecasting framework for non-stationary time series using wavelet and temporal convolution network model
M Rhif, AB Abbes, B Martinez, IR Farah
Applied Soft Computing, 110172, 2023
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